Azure Data Developer
1 month ago
Job Title: Databricks Data Engineer with Azure Focus
Job Summary: We are seeking a highly skilled Databricks Data Engineer with expertise in Azure to join our team. As a key member of our data engineering team, you will design, develop, and implement scalable and secure data platforms using Databricks, Apache Spark, and Azure.
Key Responsibilities:
- Design and build high-performance data pipelines using Databricks and Apache Spark.
- Develop and maintain secure data warehouses and data lakehouses, implementing data models, data quality checks, and governance practices.
- Build and deploy AI/ML models, integrating Machine Learning into data pipelines and leveraging Databricks ML and Azure ML.
- Monitor and optimize data pipelines and infrastructure, analyzing performance metrics and implementing optimizations for efficiency and scalability.
Requirements:
- Minimum 3+ years of experience as a Data Engineer or similar role.
- Proven expertise in Databricks, Apache Spark, and data pipeline development.
- Strong understanding of data warehousing concepts and practices.
- Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory.
- Knowledge of SQL and scripting languages like Python or Scala.
- Hands-on experience with AI/ML concepts and tools.
Desirable:
- Experience with cloud data warehousing solutions like Azure Synapse Analytics.
- Expertise in specific data visualization tools.
- Proven ability to build and deploy production-ready AI/ML models.
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